AI Ethics Symposium Recap

We had a great time at the Symposium on Bridging Disparities in Health Care Using Artificial Intelligence​ at the end of 2024. The conference consisted of 60 Presenters/Attendees representing both academia (computer science, bioethics, philosophy, psychology, medicine, theology) and industry (health care, supply chain, OPOs, UNOS)​. In particular, we were intrigued by the discussion on how to go from principles around AI ethics (e.g., privacy, non-discrimination, autonomy) to practice. This requires systems for ongoing monitoring and evaluation.

Our Team: Dr. Cihan Dagli, Rachel Dzieran, Hari Subramanian, Dr. Casey Canfield, Amaneh Babaee, Mukund Telukunta, Dr. Daniel Shank, Dr. Siddhardh Nadendla, Oluseyi Fadaiya, and Akinkunmi Akinola.
Our SLU organizers: Charles Love and Micheal Miller (Not Pictured: Jason Eberl).

We had participants from SLU, Missouri S&T, UNOS, Washington U., NYU, Vanderbilt, Yale, Johns Hopkins, Duquesne, U. of Rochester, U. of Texas, U. of North Carolina-Charlotte, U. of Missouri-Kansas City, and Kansas City University of Medicine and Biosciences. ​

The day consisted of 3 plenary lectures, 2 in-depth panels, and 11 paper presentations​. It was a great day of networking and education for those in attendance. Thank you to all of those who attended and supported our work. We can’t wait for a great new year!